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Twitter Analytics to Inform Provisional Guidance for COVID-19 Challenges in the Meatpacking Industry.
Durand-Moreau, Quentin; Mackenzie, Graham; Adisesh, Anil; Straube, Sebastian; Chan, Xin Hui S; Zelyas, Nathan; Greenhalgh, Trisha.
  • Durand-Moreau Q; Division of Preventive Medicine, Department of Medicine, Faculty of Medicine and Dentistry, 5-30 University Terrace, 8303-112St, Edmonton AB, Canada.
  • Mackenzie G; Department of Public Health, NHS Education for Scotland, 102 West Port, Edinburgh, UK.
  • Adisesh A; Division of Occupational Medicine, Department of Medicine, University of Toronto and St. Michael's Hospital, 30 Bond St, Toronto, ON, Canada.
  • Straube S; Division of Preventive Medicine, Department of Medicine, Faculty of Medicine and Dentistry, 5-30 University Terrace, 8303-112St, Edmonton AB, Canada.
  • Chan XHS; Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
  • Zelyas N; Department of Laboratory Medicine and Pathology, University of Alberta, 116 St & 85 Ave, Edmonton, AB, Canada.
  • Greenhalgh T; Nuffield Department of Primary Care Health Sciences, University of Oxford, Radcliffe Primary Care Building, Radcliffe Observatory Quarter, Woodstock Rd, Oxford, UK.
Ann Work Expo Health ; 65(4): 373-376, 2021 05 03.
Article in English | MEDLINE | ID: covidwho-1045892
ABSTRACT
The COVID-19 pandemic raised considerable challenges to obtain reliable guidance to help occupational health practitioners, workers, and stakeholders building up efficient prevention strategies at the workplace, between the constant increase of publications in the domain, the time required to run high-quality research and systematic reviews, and the urgent need to identify areas for prevention at the workplace. Social Media and Twitter, in particular, have already been used in research and constitute a useful source of information to identify community needs and topics of interest for prevention in the meatpacking industry. In this commentary, we introduce the methods and tools we used to screen relevant posts on Twitter. Twitter analytics is a way to capture real-time concerns of the community and help ensure compliance with the notion of social accountability. As such research has limitations in terms of exhaustiveness and level of evidence, it should be considered as provisional guidance to direct both actions at the workplace and further conventional research projects.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Occupational Exposure / Social Media / COVID-19 Type of study: Reviews / Systematic review/Meta Analysis Limits: Humans Language: English Journal: Ann Work Expo Health Year: 2021 Document Type: Article Affiliation country: Annweh

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Occupational Exposure / Social Media / COVID-19 Type of study: Reviews / Systematic review/Meta Analysis Limits: Humans Language: English Journal: Ann Work Expo Health Year: 2021 Document Type: Article Affiliation country: Annweh